Quantitative Engineering

Goldman Sachs Bank AG; Singapore; On-site; SGD 100,000 - 150,000; Full time

Benefits offered by this job

Healthcare & Medical Insurance

Financial Wellness & Retirement

On-site fitness centers

Child care centers and family care

Job summary

Goldman Sachs Bank AG in Singapore is seeking a Quantitative AI/ML Researcher to lead advanced AI projects with a focus on financial innovation. Candidates should possess a Ph.D. or Master’s degree in a quantitative discipline, be expert in Python programming, and have extensive experience in machine learning techniques. The role involves end-to-end model development from research to deployment in a fast-paced trading environment. The position includes a focus on XAI methodologies and engineering excellence with advanced predictive modeling techniques.

Qualifications

• A Ph.D. or Master’s degree in a quantitative discipline such as Computer Science, Statistics, Quantitative Finance, Mathematics, Physics, or Electrical Engineering.
• Expert‑level programming proficiency in Python and deep experience with its scientific computing and machine learning ecosystem.
• Proven ability to independently conduct research, manage complex datasets, and solve challenging problems.

Responsibilities

• Spearhead the end‑to‑end lifecycle of AI/ML models, ensuring measurable commercial impact.
• Design, train, and validate novel models for predictive tasks in complex financial time series.
• Engineer and maintain high‑quality, production‑grade code and resilient data pipelines.

Skills

Machine learning

Quantitative analysis

Python programming

Deep learning

Statistical methods

Education

Ph.D. or Master’s degree in quantitative discipline

Tools

NumPy

Pandas

Scikit-learn

PyTorch

TensorFlow

Job description

Who We Are

The Applied AI team at Goldman Sachs operates at the intersection of artificial intelligence, quantitative finance, and technology. Our mandate is to research, develop, and deploy cutting‑edge AI/ML models that drive commercial impact and solve the most complex predictive challenges across the firm. We function as a center of excellence, partnering with trading, sales, and engineering divisions to pioneer next‑generation quantitative technologies that redefine our revenue‑generating capabilities.

Your Impact

As a Quantitative AI/ML Researcher, you will be at the forefront of financial innovation. You will have the unique opportunity to apply your deep expertise in machine learning and quantitative analysis to high‑impact projects, from developing sophisticated alpha‐generation models to engineering state‑of‑the‑art market‑making and pricing systems. This role offers end‑to‑end ownership, from initial research and prototyping to deploying scalable, robust models into our production trading environment. You will tackle the unique challenges of applying AI in the high‑stakes, non‑stationary world of quantitative trading and help shape the future of finance.

• Model Architecture & Implementation: Spearhead the end‑to‑end lifecycle of AI/ML models, from initial research and ideation through to production deployment, with a clear focus on driving measurable commercial impact.
• Advanced Predictive Modeling: Design, train, and validate novel models for predictive tasks in complex financial time series, including deep learning, reinforcement learning, and state‑space models.
• Explainable AI (XAI) & Governance: Integrate and advance state‑of‑the‑art XAI methodologies to ensure model transparency, interpretability, and robustness. Satisfy the rigorous demands of internal model validation, risk management, and regulatory frameworks.
• MLOps & Engineering Excellence: Engineer and maintain high‑quality, production‑grade code and resilient data pipelines for high‑volume, low‑latency financial data. Adhere to and promote best practices in MLOps for versioning, containerization, continuous integration/deployment, and real‑time monitoring.

Core Qualifications

• A Ph.D. or Master’s degree in a quantitative discipline such as Computer Science, Statistics, Quantitative Finance, Mathematics, Physics, or Electrical Engineering.
• Expert‑level programming proficiency in Python and deep experience with its scientific computing and machine learning ecosystem (e.g., NumPy, Pandas, Scikit‑learn, PyTorch, TensorFlow).
• A profound theoretical and applied understanding of machine learning techniques, including LLMs, deep learning architectures, reinforcement learning, probabilistic models, and classical statistical methods.
• Proven ability to independently conduct research, manage complex datasets, and solve challenging, open‑ended problems with a data‑driven approach.
• Exceptional communication and interpersonal skills, with the ability to articulate complex technical concepts to both specialist and non‑specialist audiences.

Preferred Qualifications

• Min. 8 years of distinguished professional or academic research experience, demonstrated by a track record of building and fine‑tuning large‑scale deep learning models (e.g., Transformers) for sequential or time‑series data.
• Prior experience in quantitative role at a leading buy‑side or sell‑side institution (e.g., quantitative trading, statistical arbitrage, high‑frequency market making).
• Direct, hands‑on experience applying foundation models (e.g., LLMs) and transfer learning techniques to novel, non‑NLP domains.

ABOUT GOLDMAN SACHS

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.

Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.

Healthcare & Medical Insurance

We offer a wide range of health and welfare programs that vary depending on office location. These generally include medical, dental, short‑term disability, long‑term disability, life, accidental death, labor accident and business travel accident insurance.

Financial Wellness & Retirement

We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees’ priorities.

Health Services

We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state‑of‑the‑art on‑site health centers in certain offices.

Fitness

To encourage employees to live a healthy and active lifestyle, some of our offices feature on‑site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre‑approved amount).

Child Care & Family Care

We offer on‑site child care centers that provide full‑time and emergency back‑up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available.

Benefits at Goldman Sachs

Read more about the full suite of class‑leading benefits our firm has to offer.